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Remote Data Annotator Jobs in Ontario (NOW HIRING)

Mercor

French AI Session Annotator

Toronto, ON · Remote

CA$21 - CA$27/hr

Remote Role Responsibilities * Review recorded sessions where users interact with an AI assistant ... Experience in data annotation, linguistic QA, content moderation, or AI model evaluation.

Mercor

AI Session Reviewer - English Expert

Toronto, ON · Remote

CA$24 - CA$30/hr

AI Session Annotator (English) Type: Contract Compensation: $24-$30/hour Location: Remote Role ... Experience in data annotation, linguistic QA, content moderation, or AI model evaluation.

All JobsData Annotator JobsRemote Data Annotator JobsRemote Data Annotator Jobs in Ontario

Remote Data Annotator information

What is a remote data annotator?

A Remote Data Annotator is a professional who labels, categorizes, or tags data—such as images, text, audio, or video—while working from a remote location. This annotated data is then used to train and improve machine learning models and artificial intelligence systems. Data annotators ensure the quality and accuracy of data, which is crucial for AI applications like self-driving cars, voice recognition, and search engines. The work can vary from simple labeling tasks to more complex categorization, depending on the project requirements.

What are the key skills and qualifications needed to thrive as a remote data annotator?

To thrive as a Remote Data Annotator, you need strong attention to detail, accuracy, and a basic understanding of data labeling concepts, often supported by a high school diploma or equivalent. Familiarity with annotation platforms, data management tools, and sometimes basic coding or spreadsheet software is typically required. Excellent time management, communication, and self-motivation help you consistently meet deadlines and quality standards while working independently. These skills and qualities ensure the precise labeling of data necessary for training reliable AI and machine learning models.

What are some common challenges faced by remote data annotators, and how can they be addressed?

Remote data annotators often encounter challenges such as maintaining focus during repetitive tasks, ensuring annotation accuracy, and communicating effectively with distributed teams. To overcome these, it's helpful to establish a structured work routine, take regular breaks to prevent fatigue, and leverage collaboration tools for clear communication with project managers and peers. Additionally, staying updated with project guidelines and seeking feedback can significantly improve both productivity and annotation quality.

What is the difference between Remote Data Annotator vs Remote Data Labeler?

AspectRemote Data AnnotatorRemote Data Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, flexible hoursRemote, flexible hours
Industry UsageAI, machine learning, data scienceAI, machine learning, data science
Job FocusAnnotating complex data types (images, videos)Labeling simpler data (images, text)

Remote Data Annotators typically handle complex data annotation tasks like videos and images, requiring more detailed work. Remote Data Labelers focus on simpler labeling tasks, often involving images or text. Both roles are remote, involve similar skills, and are used in AI and machine learning industries, but differ in complexity and scope of data handled.

What are popular job titles related to Remote Data Annotator jobs in Ontario?

For Remote Data Annotator jobs in Ontario, the most frequently searched job titles are:

What job categories do people searching Remote Data Annotator jobs in Ontario look for?

The top searched job categories for Remote Data Annotator jobs in Ontario are:

Remote Data Annotator jobs near you
Infographic showing various Remote Data Annotator job openings in Ontario as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 19% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

French AI Session Annotator

Toronto, ON • Remote

Mercor
See more jobs at Mercorexternal

CA$21 - CA$27/hr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: AI Session Annotator (French)
Type: Contract
Compensation: $21–$27/hour
Location: Remote

Role Responsibilities

  • Review recorded sessions where users interact with an AI assistant via voice and camera.
  • Compare the assistant's responses with visible video content to identify hallucinated or fabricated details.
  • Score sessions on visual interpretation, accuracy, relevance, response timing, and use of spatial language.
  • Evaluate if the assistant provided timely warnings on health, safety, or financial risks.
  • Write detailed comments supporting each score with concrete evidence from sessions.
  • Capture conversation turns in the intake form.

Qualifications

Must-Have

  • Native or native-level French, spoken and written.
  • Clear, precise written French.
  • An Android phone with a working camera and microphone.
  • Attention to detail and consistent rubric application.
  • Professional English reading comprehension.

Preferred

  • Experience in data annotation, linguistic QA, content moderation, or AI model evaluation.
  • Training in linguistics, translation, or interpreting.
  • Ability to recognize unnatural or non-native French.

Start Date

  • Immediate. High volume of work expected between 26 to 31 Aug.

Application Process (Takes 20–30 mins to complete)

  • Submit your resume or relevant background.
  • Complete a short calibration task on sample sessions, assessed on scoring consistency and comment usefulness.

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.